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International Journal of Applied Power Engineering (IJAPE)
Published by Institute of Advanced Engineering and Science
ISSN : 22528792     EISSN : 27222624     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in research in the above mentioned areas for efficient and cost effective operations of power systems. The journal covers, but not limited to, the following scope: electric power generation, transmission and distribution, energy conversion, electrical machinery, sustainable energy, insulation, solar energy, high-power semiconductors, power quality, power economic, FACTS, renewable energy, electromagnetic compatibility, electrical engineering materials, high voltage insulation technologies, high voltage apparatuses, lightning, protection system, power system analysis, SCADA, and electrical measurements.
Arjuna Subject : -
Articles 571 Documents
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Transmission line fault analysis using actuating relays and Atmega 328P controller Ambarapu Sudhakar; Gaddi Nagasai; Modala Prudhvi Sagar; Maya Vamshi; Vasala Nikhil; Bodapati Venkata Rajanna
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i2.pp190-195

Abstract

Since transmission lines account for 80–86% of power system problems, protecting transmission lines is a critical concern. This research proposes a method to identify and categorize various short circuit defects on transmission lines. Various operational and fault circumstances on the transmission of high voltage lines, including L-L fault, single phase to earth fault, and double line fault, double line Three fault scenarios triple line fault, triple line to ground fault, and triple line are simulated using MATLAB software. These flaws damage the linked devices to the power grid. The main motto of this work is to analyze various kinds of faults and also to detect the type of the fault in transmission line. In order to simulate and evaluate the various faults, a 100 km transmission line model was created. A sim power system block library had a fault block, and the harmonic content of the various faults was studied using the FFT tool, the effect of faults was observed. Based on the analysis, a hardware model is designed to identify the faults in transmission line using actuating relays and Atmega 328P microcontroller and display the fault type and parameters like fault impedance, and distance at which fault occurred.
Design and development of dual mode on-board battery charger for electric vehicle Hemalatha Jeekanahalli Nanjappa; Sunanda Channaiah
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i2.pp153-161

Abstract

In recent days there is growing interest in electric vehicle (EVs) technologies because of concern about global warming, energy crisis and security. Charging configurations of EVs play a vital role in the development of automobile transformation. Hence in an automobile industry increased demand of EVs require an efficient and reliable system for recharging the battery. This paper presents a topology that interface the two types of charging systems i.e. slow charging and fast charging as required by the user. TESLA S60 battery model is taken as an example for validation of the proposed topology in simulation. Cuk converter is designed and implemented for charging the battery in two modes. The MATLAB/Simulink software is used to simulate and analyze the performance of the system. The prototype hardware model of the charger is developed and results are validated with simulation. The results show that the slow charging 86% and fast charging efficiency is more than 82%.
A review of application of artificial intelligence for space vector pulse width modulated inverter-based grid interfaced photovoltaic system Naseem Jaidi; Gitanjali Mehta
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i2.pp218-228

Abstract

Artificial intelligence (AI) is being proposed for a range of subfields that deal with photovoltaic (PV) systems as a result of improvements in computer power, tool accessibility, and data generation. The methods employed at present in the PV industry for a variety of tasks, including the outcomes of design, forecasting, control, and maintenance, have been found to be relatively inaccurate. Additionally, the use of AI to carry out these tasks has improved in terms of accuracy and precision, which has made the topic itself highly interesting. In light of this, the goal of this article is to examine the effect AI approaches have on the solar value chain. The article involves creating a map of all currently accessible AI technologies, identifying potential future uses for AI, and weighing the advantages and disadvantages of these technologies’ relative to more conventional approaches. This article lays special emphasis on discussing AI techniques for improving the power quality in grid systems involving space vector pulse width modulated inverters interfacing the photovoltaic to the grid along with power converter defect monitoring, filter flaw detection, and battery monitoring.
Analysis of the effect of a microcontroller-based solar panel cooling system on temperature and power output Vicky Andria Kusuma; Happy Aprillia; Sena Sukmananda Suprapto; Muhammad Nizhom Ramadhani; Aji Akbar Firdaus; Dimas Fajar Uman Putra
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i2.pp119-125

Abstract

This research addresses the problem of temperature fluctuations affecting the efficiency of solar panels. A cooling system has been developed using a Peltier and a combination of air- and water-cooling methods. The air-cooling system involves placing a Peltier coated with a heatsink under the solar panel, while the water-cooling system uses pumped water on the panel's surface. The study aims to design a solar panel cooling system to reduce temperature and power losses and compare its output to standard solar panels. The system includes a Peltier, DC fan, and heatsink. Results indicate that the air-cooling system reduced temperature losses on the bottom milk of solar panels by 14.5%. However, the surface of solar panels showed no reduction in temperature losses. Additionally, solar panels with cooling systems were able to reduce power losses by 4% compared to standard solar panels. This research suggests that the use of an air-cooling system utilizing Peltier as the cooling medium could be a potential solution to reduce temperature losses and power losses on solar panels.
Reactive power control of solar photovoltaic inverters for grid code compliance support Muammar Zainuddin; Frengki Eka Putra Surusa; Muhammad Asri; Aprian Mokoagow
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i3.pp300-311

Abstract

The compensation of reactive power in smart inverters is one solution to address the issue of voltage violations in the distribution network due to the penetration of solar photovoltaic power generation. However, options for reactive power control are limited during variations in irradiation and daily load on the feeder. This study aims to investigate the performance difference between four reactive power control techniques including Q(V) control, Q(P) control, fixed Q-Var, and fixed power factor (PF) available in smart inverters to reduce voltage violations due to PV integration and comply with the grid-code. Three-phase balanced power flow was simulated in a medium voltage distribution network (MVDN) considering the reactive power control mode of the inverter under variations in solar radiation and daily load. The results showed that the Q(V) control was more effective in improving distribution feeder voltage than other techniques and showed its compliance with the grid-code. The limiting setting point for var injection or power factor limit should be proportional to the daily grid load profile.
Reliability improvement of power systems using shunt reactive compensation and distributed generation Mohammad Mahmoud; Ayman Faza
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i3.pp277-292

Abstract

Due to the increased demand on electric power, power systems have become highly stressed. This has caused the frequent occurrence of cascading failures, where the failure of one line leads to a series of failures causing a system blackout. Adding high speed control of different electrical parameters of the power system can help improve the reliability of the power system and relieve some of that stress. In this research, the effects of adding static VAR compensators (SVCs) and distributed generation units has been studied from a reliability perspective. Since installing this equipment can be expensive, an algorithm has been developed to obtain the optimal bus location to install such devices, such that reliability is improved. Furthermore, Monte Carlo simulation is used to provide a measure for the improvement in system reliability in the presence of transmission line failures. Results show that injecting real and reactive power generally improves system reliability. However, increasing the amount of injection and increasing the number of buses injected to indefinitely does not necessarily enhance the reliability of the system any further. As such, caution must be exercised when deploying SVCs or distributed generation sources when the goal is to improve system reliability.
Improving fault identification in smart transmission line using machine learning technique Venkutuswamy, Radhika; Kaliyaperumal, Baskaran
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i4.pp359-366

Abstract

In this work inevitable for power transmission boards such as Tamil Nadu Generation and Distribution Corporation Limited (TANGEDCO) to look for a low-cost communication system with low power usage and to improve supply reliability, to transmit reliable fault information back to the control centre in real time. This work aims to design an automated and effective fault identification and position system for all overhead power transmission network networks using all current fault indicator technologies, machine learning methods, and commercially tested communication technology to easily and reliably pin a transmission system's flawed point parts. This will help to people avoid touching the electrical wire and prevent electrical shocks and current wastage as well. Smart transmission lines have played a decisive role in developing human protection and preventing current wastage. The transmission line is opened and the state of the line is evaluated, and the information goes to electrical board (EB) office. The system monitors the data by sending the alert message to the person responsible for the GPS location, either via SMS or BUZZER, or by displaying the alert message lives. Transmission line distribution is broad and most of them are spread around the geographical environment.
Optimal power dispatch for day-ahead power system operation considering demand elasticity Kaikrathok, Pansa; Chayakulkheeree, Keerati
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i4.pp373-383

Abstract

This paper proposes the optimal power dispatch (OPD) considering price-based demand response (PDR). In the proposed framework, the nodal spot price (NSP) is use as a price signal to the consumers. In the proposed method, the optimal real power dispatch is solved by quadratic programming (QP) to minimize the total operating cost and obtain the NSP components. Consequently, demand elasticity (DE) is applied to estimate the system demand for more accurate day-ahead operations. In the DE matrix, the self-DEs represent the consumer consumption of hour h in response to the NSP of that hour. Meanwhile, the cross-DEs represent the response of consumer consumption of hour h to the NSP of other hours. The algorithm was tested with the IEEE 30-bus system with several cases of demand elasticity. The results show that the proposed algorithm can incorporate price elasticity of demand into day-ahead scheduling and effectively minimize total operating costs. The simulation study shown that, the operating cost can be reduced by 0.33-0.695% with self-DE of -0.1~-0.2, by reducing the consumption respected to the NSP. Meanwhile, when applying cross-DE, the operating cost can be reduced by 0.015% under the same daily consumption with the consumer’s load shifting respected to NSP.
Using machine learning prediction to design an optimized renewable energy system for a remote area in Italy Ali Rezaei; Afshin Balal; Yaser Pakzad Jafarabadi
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i3.pp331-340

Abstract

Due to the lack of fossil fuels, there is a significant demand to employ renewable energy systems (RES) worldwide. This paper proposes designing an optimized RES for a remote microgrid that relies solely on solar and wind sources. The proposed RES aims to provide reliable and efficient energy to the microgrid by using machine learning algorithms to forecast the power output of the solar and wind sources. This forecasting will help the system to anticipate and adjust to changes in the weather patterns that may affect the availability of solar and wind. In addition, the system advisor model (SAM) software is used to design the hybrid solar/wind system, considering factors such as the size of the microgrid and the available resources. The system comprises a 60-kW wind system of ten turbines and a 100-kW PV system spread out over the houses. The results show that random forest regression (RFR) models achieved a high level of accuracy in predicting solar power generation, as evidenced by their low mean squared error (MSE) and high R² values. Additionally, a proposed hybrid system can generate enough energy to meet the area's needs.
Leveraging PSO algorithms to achieve optimal stand-alone microgrid performance with a focus on battery lifetime Vicky Andria Kusuma; Aji Akbar Firdaus; Sena Sukmananda Suprapto; Dimas Fajar Uman Putra; Yuli Prasetyo; Firillia Filliana
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i3.pp293-299

Abstract

This research endeavors to increase the lifespan of a battery utilized in a standalone microgrid system, a self-sufficient electrical system that consists of multiple generators that are not connected to the main power grid. This type of system is ideal for use in remote locations or areas where the grid connection is not possible. The sources of energy for this system include photovoltaic panels, wind turbines, diesel generators, and batteries. The state of charge (SOC) of the battery is used to determine the amount of energy stored in it. The particle swarm optimization (PSO) method is applied to minimize energy generation costs and maximize battery life. The results show that battery optimization can decrease energy generation costs from Rp 5,271,523.03 ($338.64 in USD) to Rp 13,064,979.20 ($839.30 in USD) while increasing the battery's lifespan by 0.42%, with losses of 7.22 kW and 433.29 kVAR, and also a life loss cost of Rp 5,499/$0.35.

Page 31 of 58 | Total Record : 571

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